Data Analyst Intern at Pula
As a Data Analyst Intern at Pula, you will play a crucial
role in supporting the Analytics & Insights team by ensuring data
management and analysis, problem identification, resolution, and the
implementation of department strategies. We are looking for a highly motivated
and data-driven individual with strong documentation and project management
skills, capable of seamlessly transitioning between strategic planning and
hands-on execution.
Key Responsibilities
- Conduct
data quality checks following standard operating procedures (SOPs).
- Provide
support to the support desk and field staff when required, ensuring
effective communication.
- Utilize
data analytics and project knowledge to identify risks and issues within
projects.
- Keep
the manager informed by providing regular daily, weekly, and ad-hoc
updates.
- Propose
potential solutions to address problems encountered in the field.
- Draft
training materials, protocols, and other necessary documents as needed.
- Utilize
designated tools and software proficiently as per project requirements.
- Demonstrate
honesty and transparency in all aspects of work.
- Emphasize
direct and open communication to address problems and provide feedback
constructively.
- Determine
appropriate methods for data quality checks, data analysis, and operations
assessment.
- Identify
gaps in current data quality check SOPs and suggest improvements.
- Evaluate
the effectiveness of newly implemented processes.
- Document
findings, prepare reports, and make recommendations based on analysis.
Who you are
- Complete
Bachelor’s degree in Statistics, Economics, Agricultural Economics,
Agribusiness Management, GeoInformatics or Information Systems is
required.
- Minimum
of 1 year of experience in a fast-paced data environment is an added
advantage.
- Proficiency
in specialized statistical analysis software and data visualization tools
like Power BI or similar platforms.
- Proficiency
in Python and R is a must. Knowledge of SQL is also preferred
- Ability
to communicate complex information effectively through clear writing and
excellent verbal communication skills.
- Capable
of transforming technical data into presentations for diverse audiences.
- Skilled
in collaborating with diverse groups, partners, and colleagues,
demonstrating a strong team spirit.
- Self-driven,
able to work independently with minimal supervision.
- Efficiently
handle multiple tasks, prioritize work, and meet deadlines effectively.